--- license: other tags: - generated_from_keras_callback model-index: - name: AhamadShaik/SegFormer_PADDING_x.6 results: [] --- # AhamadShaik/SegFormer_PADDING_x.6 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.2116 - Train Dice Coef: 0.3018 - Train Iou: 0.1931 - Validation Loss: 0.0863 - Validation Dice Coef: 0.6813 - Validation Iou: 0.5211 - Train Lr: 1e-04 - Epoch: 0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Train Dice Coef | Train Iou | Validation Loss | Validation Dice Coef | Validation Iou | Train Lr | Epoch | |:----------:|:---------------:|:---------:|:---------------:|:--------------------:|:--------------:|:--------:|:-----:| | 0.2116 | 0.3018 | 0.1931 | 0.0863 | 0.6813 | 0.5211 | 1e-04 | 0 | ### Framework versions - Transformers 4.27.4 - TensorFlow 2.11.0 - Tokenizers 0.13.2